Evidence map›Paper›PMID 39695481›Full record

ArticleBMC public health2024

Impact of emergency financial support program on testing demand, SARS-CoV-2 prevalence, and social isolation during COVID-19 outbreak in Brazil: a quasi-experimental study.

Gabriel Alves de Sampaio Morais, Laio Magno, Joilson Nascimento Paim, Thais Aranha, Inês Dourado

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Gabriel Alves de Sampaio MoraisCollective Health Institute, Federal University of Bahia, Salvador, Brazil. gabriel.morais@ufba.br.
Laio MagnoCollective Health Institute, Federal University of Bahia, Salvador, Brazil.
Joilson Nascimento PaimCollective Health Institute, Federal University of Bahia, Salvador, Brazil.
Thais AranhaLife Science Department, State University of Bahia, Salvador, Brazil.
Inês DouradoCollective Health Institute, Federal University of Bahia, Salvador, Brazil.

Funding

UNITAID, World Health Organization Grant 2017-15-FIOTECPrEP
6 · The paper itself

Abstract

backgroundPrograms offering financial support have been established to mitigate the economic fallout and vulnerabilities arising from the COVID-19 pandemic. Moreover, financial incentives were introduced to promote compliance with social isolation measures, thereby preventing SARS-CoV-2 infections and transmission. However, few low- and middle-income countries have implemented financial aid to alleviate the socio-economic impact of the COVID-19 pandemic. We estimated the association between the Brazilian Emergency Aid (EA) Program and SARS-CoV-2 testing demand, SARS-CoV-2 prevalence, and social isolation levels.

methodsIn this quasi-experimental study, we assessed microdata information from 380,000 individuals surveyed in the COVID-19 National Household Sample Survey (COVID-19 NHSS) between July 1, 2020, and Nov 30, 2020. Individuals meeting the EA eligibility criteria, those who have taken the SARS-CoV-2 test, those diagnosed with COVID-19, and/or those complying with social isolation measures were included. Beneficiaries and non-beneficiaries were matched (1:1) using propensity score matching, combined with the entropy balance technique and inverse probability treatment weighting, considering all relevant socioeconomic and health covariates. We performed logistic regression to compute the monthly average impact of EA benefits on the outcomes above.

resultsWe included 171,183 performed tests, 19,218 COVID-19 cases, and individuals' self-response in complying with mild (N = 660,297), moderate (N = 597,159), strict social isolation (N = 149,125), and those who did not constrain social gatherings (N = 1,406,581). EA recipients showed greater testing demand (November; odds ratio [OR] = 1.014, 95% confidence interval [CI]: 1.001-1.026); however, this did not significantly reduce SARS-CoV-2 prevalence. Beneficiaries adhered better to mild isolation from July-September (September; OR: 1.017, 95% CI: 1.007-1.028), with no significant improvement from October-November. EA beneficiaries did not adhere to moderate (July, OR: 0.95, 95% CI: 0.94-0.97; November, OR: 0.83, 95% CI: 0.80-0.86) or strict (July, OR: 0.79, 95% CI: 0.75-0.84; November, OR: 0.77, 95% CI: 0.73-0.81) isolation compared to non-beneficiaries.

conclusionsDespite the severe COVID-19 situation in Brazil owing to the lack of effective public health policies and government resistance to scientific guidance, being an EA beneficiary was associated with increased testing demand and better adherence to mild social isolation measures.

Indexed as

COVID-19SARS-CoV-2Social IsolationAdolescentAdultAgedBrazilCOVID-19 TestingFemaleHumansMaleMiddle AgedPandemicsPrevalencePublic AssistanceYoung AdultEconomic IncentiveSARS-CoV-2 PrevalenceSARS-CoV-2 Testing DemandSocial Isolation

Identifiers

PMID39695481
PMCPMC11654062

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.